Learning longitudinal classification-regression model for infant hippocampus segmentation

Guo Yanrong; Wu Zhengwang; Shen Dinggang

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Learning longitudinal classification-regression model for infant hippocampus segmentation

机译：学习婴幼儿海马分割的纵向分类 - 回归模型

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来源
《Neurocomputing》 |2020年第may28期|191-198|共8页
作者
Guo Yanrong; Wu Zhengwang; Shen Dinggang;
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作者单位

Hefei Univ Technol Sch Comp & Informat Hefei 230009 Peoples R China;

Univ N Carolina BRIC IDEA Lab Chapel Hill NC 27599 USA;

Univ N Carolina BRIC IDEA Lab Chapel Hill NC 27599 USA|Korea Univ Dept Brain & Cognit Engn Seoul 02841 South Korea;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种 eng
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3. A learning-based wrapper method to correct systematic errors in automatic image segmentation: consistently improved performance in hippocampus, cortex and brain segmentation. [J] . Wang H, Das SR, Suh JW, NeuroImage . 2011,第3期

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4. Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning [C] . Yanrong Guo, Pei Dong, Shijie Hao, International Workshop on Patch-Based Techniques in Medical Imaging;International Conference on Medical Image Computing and Computer-Assisted Intervention . 2016

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Learning longitudinal classification-regression model for infant hippocampus segmentation

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